Actions

En

Projets:MagicWord

De GBLL, TAL, ALAO, etc.

Docker (container engine) logo.svg
Français

Links

Presentation

Initiated from within the Innovalangues project, MagicWord is an adaptation of Boggle (Turoff, 1972), a letter game. Building on the success of applications such as Ruzzle (35 millions de joueurs), we have tried to propose new rules to harness the linguistic attributes of such games for language learning.

MagicWord currently exists in two languages: French and English.

Intentions

This game targets both lexical et morphologic linguistic competences. As in many letter games, the wider the lexical knowledge of the player, the better chance of finding words (in the grid). But, knowledge of the stemming mecanisms will be especially important as each lemma will allow to create various forms.

The Wordbox, a kind of personnal lexicon, is provided to the player so that they can record words of interest or create word lists.

For more information see:

Basic principles

The aim of the game is to find words in a 16 letters (4×4) grid. To create a word, letters need to be adjacent, the direction is not relevant, a letter can only be used once per word.

There are two game modes:

  • Rush : find as many words (you should try to group forms stemming from the same lemma into combos) ;
  • Conquer : with specific objectives, only time matters, fullfil the game challenges in as little time as possible.

Credits

The up-to-date list of contributors is available in the code

Funding

2014–2017 Logo-Investissements d'avenir.svgLogo-gamer.svg The first versions of MagicWord were implemented in the GAMER work package of the Innovalangues project
ANR.svg-IDFI-0024
2016–2019 775-Fist-41490.svg
  • Mathieu Loiseau is an paid by Université Grenoble Alpes to (among other things) test, design, communicate on the game and administrate the server that hosts it ;
  • Timothée Liotard made an unpaid internship (M1 thesis supervised by Virginie Zampa) ;
  • Arnaud Bey donated his free time, developping new functionnalities, resolving bugs, and dockerizing the system ;
2019 Logo data institute-blank2.svg Démarre SHS !, WP3 of Data@UGA funds the integration of new languages to MagicWord.